Intro

This chapter examines the impressive features of LLaMA 4, particularly its large context window and its ability to generate extensive text. The hosts provide engaging prompts for testing the model, underlining the advancements in AI and its storytelling potential.

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In this episode, we dive deep into Meta's groundbreaking new language model release, LLaMA 4, and explore why it's being hailed as one of the most advanced AI models available.

With a mind-blowing 10 million token context window—equivalent to tens of millions of characters—LLaMA 4 pushes the boundaries of what's possible in large language models.

We break down what this means for AI capabilities, creativity, and real-world applications, while showing off some impressive use cases including storytelling, problem-solving, and even planning sci-fi themed parties.

We also take a hands-on look at different LLaMA 4 variants like Behemoth, Maverick, and Scout, and put its multimodal features to the test—from image interpretation to animation.

Along the way, we compare benchmark data, usability, and cost against models like GPT-4.5, Claude 3.7, and Gemini 2.0. Whether you're an AI enthusiast or a casual tech follower, you won't want to miss what this new generation of models can do.

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⏰ TIMESTAMPS:

0:00 - Breaking Down Token Limits

0:56 - What Makes Llama 4 Unique

2:23 - Testing Llama 4 With Prompts

3:40 - Creative Writing and Problem Solving

5:13 - Sci-Fi Party Planning With AI

6:24 - Visualizing Star Wars Debates

7:41 - Llama 4 vs Other LLMs

8:26 - Meta AI Costs and Availability

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